Beam Scheduling Probability Indication for Interference Management
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Solution Overview
Problem
In wireless communication systems, especially in 5G NR, there is a need to minimize interference between simultaneous uplink and downlink transmissions by network nodes, which can occur due to overlapping transmit and receive beams, leading to reduced network efficiency and performance.
Innovation Solution
Network nodes identify the usage and interference probabilities of transmit-receive beam pairs and adjust their beam schedules accordingly to minimize interference, by transmitting usage or interference probability indications between nodes, allowing them to avoid scheduling conflicting beams during high-interference times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full duplex simultaneous uplink/downlink transmission is enabled, then network capacity and spectral efficiency are improved, but interference between transmit and receive beams increases
Solution Approach 1:
The system performs preliminary identification of usage and interference probabilities for each beam pair before scheduling transmissions. Network nodes exchange probability indications and pre-adjust beam schedules to avoid high-interference configurations, preventing interference rather than reacting to it after occurrence
Solution Approach 2:
The beam scheduling system dynamically adjusts beam selection and timing based on real-time probability measurements. Network nodes continuously monitor and update usage and interference probabilities, adapting beam schedules to changing channel conditions and traffic patterns to minimize interference while maximizing capacity
2Reliability
If beam schedules are adjusted to avoid interference, then interference probability is reduced, but scheduling complexity increases
Solution Approach 1:
The system transforms the complex beam scheduling problem into a probability-based parameter optimization problem. By measuring and exchanging usage and interference probabilities as scalar parameters, nodes can make scheduling decisions based on simple probability comparisons rather than complex interference calculations
Solution Approach 2:
Network nodes exchange probability indications as feedback information to coordinate beam scheduling decisions. Each node uses received probability information from neighboring nodes to adjust its own beam schedule, creating a distributed feedback loop that achieves interference avoidance without centralized control
Data Source
AI summary
A first network node may identify at least one of a usage probability or an interference probability of each Rx beam of the first network node in a plurality of Tx-Rx beam pairs associated with the first network node and the second network node. The usage probability may include a usage metric that indicates a likelihood of using a beam. The interference probability may include an interference metric that indicates a likelihood of a Tx beam of the second network node interfering with an Rx beam of the first network node. The first network node may transmit a first indication of the usage probability or the interference probability of each Rx beam in the plurality of Tx-Rx beam pairs. The second network node may receive the first indication and adjust a beam schedule for at least one of the plurality of Tx-Rx beam pairs based on the received first indication.